# 36 | Giza Tech: verifiable ML and Agents

In this episode, we spoke with Raphael Ducasse, lead engineer at Giza, about building LuminAIR—a verifiable machine learning library—and how it powers autonomous DeFi agents through ZKML. Main topics we discussed:

- The shift from Cairo-based tooling to building LuminAIR on Luminol, a minimal Rust-based ML library

- How LuminAIR optimize models for ZK proving

- Giza’s core thesis, roadmap, why they launched a token and  institutional adoption

- Verifiable recommender systems and other ZKML use cases

- Giza protocol’s role in decentralizing agent execution with Eigenlayer AVS

- How ARMA, Giza’s flagship agent, reallocates funds across lending protocols while maintaining custody

Links

Giza's Website: https://www.gizatech.xyz/

Giza's Twitter/X: https://x.com/gizatechxyz

LuminAIR: https://github.com/gizatechxyz/LuminAIR

YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@ingo_zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

GitHub: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://github.com/ingonyama-zk⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/ingonyama⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Join us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.ingonyama.com/career⁠⁠⁠⁠⁠⁠